Senior Python Engineer - Agentic AI

Position: Senior Python Engineer - Agentic AI
Location: San Francisco, California (Hybrid)
Duration: 3 months Contract (with the possible extension)

Job Overview: About the Initiative
Part of the Consumer Technology Marketing Technology organization.
Focused on building and deploying greenfield Agentic AI solutions.
Team is developing AI agents that orchestrate and automate marketing campaign activities.
Since launching in March, the team has successfully built 6 AI agents and is now entering the next phase of scaling and enhancement.
The first production agents are scheduled to go live on August 24th.
Long-term roadmap is expected to expand to 20+ AI agents.
This is one of the bank's first major Agentic AI initiatives and is considered a highly visible, strategic program.
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+ years
Microservices: 5+ years
API Development/Integration: 5+ years
MongoDB: 5+ years
Agentic AI: 2+ years preferred

Core Technical Skills
Python software engineering
REST API development
Microservices architecture
Distributed systems design
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
Generative AI application development
Large Language Models
Agentic AI systems
Multi-agent workflow design
Retrieval-Augmented Generation
Hybrid RAG architectures
Knowledge graph-enhanced RAG
Prompt engineering
Prompt orchestration
Tool calling
LLM routing and fallback strategies
Fine-tuning evaluation
Model evaluation frameworks
Hallucination detection
Human-in-the-loop validation
Text-to-SQL using LLMs
Schema-aware prompting
Embeddings and semantic search
AI Platform & Architecture Skills
Enterprise AI platform architecture
Scalable AI workflow design
AI governance standards
AI guardrails implementation
Responsible AI controls
PII redaction
Audit logging
Model usage monitoring
Latency, cost, and accuracy optimization
AI/ML feature engineering
Recommendation systems
Feedback loops for model improvement
Data Engineering Skills
Kafka
Streaming data pipelines
Databases & Vector Search
Vector database architecture
Semantic retrieval
Re-ranking
Embedding pipelines

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Pay Range: $80.00 - 90.00/hr on W2

The specific compensation for this position will be determined by several 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, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

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