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.