Egen Jobs Hiring Now
Egen is hiring for 13 open roles on Migrate Mate as of July 15, 2026, concentrated in software engineering and business operations, with listed salaries up to about $290,000. Migrate Mate updates Egen's live openings daily. Egen is a technology and software consultancy specializing in cloud engineering, data, and artificial intelligence solutions for enterprise clients.
Find Egen JobsOverview
Egen hiring data on Migrate Mate, as of July 15, 2026.
- Open jobs
- 13
- Top team
- Software Engineering
- Seniority
- Manager level or above
- Work type
- 38% remote or hybrid
- Top location
- Remote
- Salary range
- $135,000–$290,000
Listed salaries for Egen roles on Migrate Mate range from about $135,000 to $290,000 per year across 13 open roles, as of July 15, 2026.
Open Roles at Egen
Showing 13 of 13+ Egen jobs
As a Principal AI Engineer, you set the technical direction for our most complex Generative AI work — and you are personally hands-on building it. We treat AI as a software engineering discipline, and you are the person who raises that bar: architecting systems that survive contact with production, and elevating the engineers around you to do the same.
You own the hardest problems in our portfolio — agentic platforms operating at scale, foundation-model and applied-ML work, and AI in regulated, high-stakes environments where being wrong is expensive. Document intelligence and RAG pipelines are part of the toolkit, not the ceiling. You take these systems from an ambiguous business problem to a robust, scalable production service, solving for the real-world constraints — latency, reliability, cost, governance — that separate a demo from a system a client can bet on.
You are also the technical face of our engagements. You partner directly with client leadership to translate business strategy into AI architecture, shape solutions in pre-sales, and earn the trust that turns a project into a program. This role blends deep, current mastery of LLMs and ML with the judgment, communication, and consultative instinct of a senior technical leader.
What You Will Do:
-
Set technical direction: Own architecture for our most complex GenAI and agentic systems end-to-end, and set the standards — evaluation, observability, responsible AI — that the practice builds to.
Build at the frontier, hands-on: Stay in the code where it matters most — foundation-model and embedding fine-tuning, novel agentic workflows, advanced RAG and semantic search — using Python on Google Cloud (Vertex AI), LangChain/LlamaIndex, and vector search (Vertex AI Vector Search, Pinecone, pgvector).
Engineer for production: Design for latency, reliability, cost, and scale from day one; apply MLOps discipline so systems are served efficiently, monitored, and continuously improved — and actually reach production, where most AI work stalls.
Lead multi-step reasoning at scale: Architect and operate agentic workflows that automate complex reasoning reliably, with the design and verification discipline that keeps multi-agent systems from cascading into failure.
Advise clients and shape deals: Work directly with client leadership to understand strategy, propose state-of-the-art approaches, and shape solutions in pre-sales — the technical authority in the room.
Multiply the team: Elevate senior and mid-level engineers through architecture reviews, mentorship, and setting a high, teachable bar for AI-augmented engineering.
Your Technical Toolkit:
-
Core Languages: Mastery of Python and shell scripting; fluency across the modern AI engineering stack.
AI/LLM Ecosystem: Deep, current expertise with Google Gemini, GPT-class, and open models (LLaMA); advanced prompt engineering, fine-tuning, and evaluation.
Agentic Systems: Proven experience designing and productionizing agentic and multi-step reasoning systems (MCP, tool use, orchestration) — not just prototypes.
Data & Search: Expertise in vector databases (Vertex AI Vector Search, pgvector, Pinecone) and semantic search at production scale.
Infrastructure: Deep hands-on experience with Google Cloud / Vertex AI and architecting scalable, resilient software systems.
Frameworks: Strong command of LangChain, LlamaIndex, or equivalent orchestration layers — and the judgment to know when not to reach for them.
Engineering foundation: A first-class software engineer — clean, maintainable code, full SDLC ownership, and the architectural judgment to lead others.
Basic Qualifications:
-
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
10+ years in software / AI / ML engineering, with a substantial track record of AI systems delivered to production at scale.
Demonstrated technical leadership — owning architecture and setting direction across engagements or teams, not just individual deliverables.
Proven track record of deploying GenAI and/or agentic products to production environments.
Experience with classic machine learning (neural nets, training, tuning) strongly preferred; foundation-model or novel-model work a distinct plus.
Strong data engineering and SQL knowledge.
Senior client-facing experience — translating technical complexity into business value for executive stakeholders.
Personal Attributes:
-
Ownership at scale: You take responsibility not just for your code, but for the outcome of the system and the success of the team building it.
Curiosity: The AI landscape changes weekly; you stay at the frontier and bring the team with you.
Consultative authority: You earn the trust of client leadership and are the calm, credible technical voice in a high-stakes room.
Ethics: You hold the line on responsible AI development and data privacy.
This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.
Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
As a Principal AI Engineer, you set the technical direction for our most complex Generative AI work — and you are personally hands-on building it. We treat AI as a software engineering discipline, and you are the person who raises that bar: architecting systems that survive contact with production, and elevating the engineers around you to do the same.
You own the hardest problems in our portfolio — agentic platforms operating at scale, foundation-model and applied-ML work, and AI in regulated, high-stakes environments where being wrong is expensive. Document intelligence and RAG pipelines are part of the toolkit, not the ceiling. You take these systems from an ambiguous business problem to a robust, scalable production service, solving for the real-world constraints — latency, reliability, cost, governance — that separate a demo from a system a client can bet on.
You are also the technical face of our engagements. You partner directly with client leadership to translate business strategy into AI architecture, shape solutions in pre-sales, and earn the trust that turns a project into a program. This role blends deep, current mastery of LLMs and ML with the judgment, communication, and consultative instinct of a senior technical leader.
What You Will Do:
-
Set technical direction: Own architecture for our most complex GenAI and agentic systems end-to-end, and set the standards — evaluation, observability, responsible AI — that the practice builds to.
Build at the frontier, hands-on: Stay in the code where it matters most — foundation-model and embedding fine-tuning, novel agentic workflows, advanced RAG and semantic search — using Python on Google Cloud (Vertex AI), LangChain/LlamaIndex, and vector search (Vertex AI Vector Search, Pinecone, pgvector).
Engineer for production: Design for latency, reliability, cost, and scale from day one; apply MLOps discipline so systems are served efficiently, monitored, and continuously improved — and actually reach production, where most AI work stalls.
Lead multi-step reasoning at scale: Architect and operate agentic workflows that automate complex reasoning reliably, with the design and verification discipline that keeps multi-agent systems from cascading into failure.
Advise clients and shape deals: Work directly with client leadership to understand strategy, propose state-of-the-art approaches, and shape solutions in pre-sales — the technical authority in the room.
Multiply the team: Elevate senior and mid-level engineers through architecture reviews, mentorship, and setting a high, teachable bar for AI-augmented engineering.
Your Technical Toolkit:
-
Core Languages: Mastery of Python and shell scripting; fluency across the modern AI engineering stack.
AI/LLM Ecosystem: Deep, current expertise with Google Gemini, GPT-class, and open models (LLaMA); advanced prompt engineering, fine-tuning, and evaluation.
Agentic Systems: Proven experience designing and productionizing agentic and multi-step reasoning systems (MCP, tool use, orchestration) — not just prototypes.
Data & Search: Expertise in vector databases (Vertex AI Vector Search, pgvector, Pinecone) and semantic search at production scale.
Infrastructure: Deep hands-on experience with Google Cloud / Vertex AI and architecting scalable, resilient software systems.
Frameworks: Strong command of LangChain, LlamaIndex, or equivalent orchestration layers — and the judgment to know when not to reach for them.
Engineering foundation: A first-class software engineer — clean, maintainable code, full SDLC ownership, and the architectural judgment to lead others.
Basic Qualifications:
-
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
10+ years in software / AI / ML engineering, with a substantial track record of AI systems delivered to production at scale.
Demonstrated technical leadership — owning architecture and setting direction across engagements or teams, not just individual deliverables.
Proven track record of deploying GenAI and/or agentic products to production environments.
Experience with classic machine learning (neural nets, training, tuning) strongly preferred; foundation-model or novel-model work a distinct plus.
Strong data engineering and SQL knowledge.
Senior client-facing experience — translating technical complexity into business value for executive stakeholders.
Personal Attributes:
-
Ownership at scale: You take responsibility not just for your code, but for the outcome of the system and the success of the team building it.
Curiosity: The AI landscape changes weekly; you stay at the frontier and bring the team with you.
Consultative authority: You earn the trust of client leadership and are the calm, credible technical voice in a high-stakes room.
Ethics: You hold the line on responsible AI development and data privacy.
This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.
Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
Job Roles at Egen
Working at Egen
Egen's 13 open roles are manager level or above, and about 38% are remote or hybrid. The most active teams are software engineering, business operations, and cloud & DevOps. Egen is a technology and software consultancy that helps enterprise organizations design and implement cloud, data, and AI solutions. The firm works across cloud platforms, machine learning infrastructure, and agentic AI, with a team profile that skews toward senior engineers, architects, and technical consultants. Most Egen roles are based in Remote, with some in United States and Emeryville.
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Browse jobs by roleEgen Jobs: Frequently Asked Questions
How many jobs is Egen hiring for right now?
Egen is hiring for 13 open roles on Migrate Mate as of July 15, 2026, updated daily, concentrated in software engineering and business operations. Roles span cloud engineering, machine learning, data engineering, AI, and technical consulting. Migrate Mate pulls Egen's live listings automatically, so the count reflects what is actively open.
What kinds of roles does Egen hire for?
The most active teams are software engineering, business operations, and cloud & DevOps. Egen's open positions center on senior and principal-level technical roles, including cloud architects, machine learning engineers, AI engineers, data engineers, and strategic consultants focused on AI adoption and change enablement. Most postings are manager level or above, reflecting Egen's project-driven, expert-led delivery model.
Are Egen jobs remote or in-person?
A mix of remote and on-site. About 38% of Egen's open roles on Migrate Mate are remote or hybrid as of July 15, 2026, with the rest based in Remote. Each Egen listing shows its work location so you can filter before applying.
How do I apply to a job at Egen?
Find an Egen role on Migrate Mate, then follow the listing through to Egen's own careers page to submit your application directly. Egen manages its own hiring process, including resume review, interviews, and offers. Migrate Mate does not sit between the applicant and the employer at any point in the process.
What do Egen jobs pay?
Listed salaries for Egen roles on Migrate Mate range from about $135,000 to $290,000 per year as of July 15, 2026, with most postings at manager level or above. Exact pay is set by Egen and shown on each listing.
Does Egen hire entry-level?
Most of Egen's open roles on Migrate Mate are manager level or above as of July 15, 2026. Entry-level openings are limited. Check individual Egen listings for stated experience requirements.
Where is Egen hiring?
Most Egen roles are based in Remote, with some in United States and Emeryville, and about 38% offer remote or hybrid work as of July 15, 2026. Migrate Mate shows the location on each listing.