Senior Python Engineer – Agentic AI

Open for W2 only / No for C2C arrangements

Location: Grant St Concord California 94520 United States

Long term contract

Hybrid schedule: approximately 3 days per week onsite (preferred days are Monday, Wednesday, and Thursday, with flexibility).

Mode of Interview: In-person interviews required

No mid layer / No Implementation partners are Involved

Role Overview:

• Hands-on development role with a strong coding focus.
• Resources will primarily be building, enhancing, and supporting AI agents rather than spending significant time in meetings.
• Daily collaboration occurs through team standups and close interaction with developers and architects.
• Candidates should be comfortable communicating technical needs and blockers, though executive-facing responsibilities are minimal.

Target Candidate Profile:

• Strong backend Python developer with experience building and supporting microservices-based applications.
• Experience designing and consuming APIs.
• Familiarity with Large Language Models (LLMs), Agentic AI frameworks, and AI orchestration concepts.
• Experience working with MongoDB and vector databases.
• Financial services experience is not required.

Required Experience:

• Python: 5 plus years
• Microservices: 5 plus years
• API Development/Integration: 5 plus years
• MongoDB: 5 plus years
• Agentic AI: 2 plus years preferred

Why Candidates Are Interested:

• Opportunity to work on cutting-edge Agentic AI technology.
• Greenfield development environment with significant technical ownership.
• Collaborative, supportive, and highly engaged team culture.
• Potential for extension and conversion opportunities.

Core Technical Skills:

• Python software engineering
• Backend service development
• FastAPI
• AsyncIO
• Multiprocessing
• Performance tuning and profiling
• Caching strategies
• Database/query optimization
• Event-driven architecture
• High-availability and fault-tolerant system design

Generative AI / LLM Skills:

• Agentic AI systems
• Multi-agent workflow design
• Retrieval-Augmented Generation
• Knowledge graph-enhanced RAG
• LLM routing and fallback strategies
• Text-to-SQL using LLMs
• Schema-aware prompting
• Embeddings and semantic search
• Scalable AI workflow design
• AI governance standards
• AI guardrails implementation
• Responsible AI controls
• PII redaction
• Audit logging
• Latency, cost, and accuracy optimization
• Recommendation systems
• Feedback loops for model improvement
• Kafka

Databases & Vector Search:

• Semantic retrieval
• Re-ranking

Pay Range: $85/hr - $90/hr

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.