AI/ML Engineering

Title:

AI/ML Engineering Location:

Sunnyvale, CA ( 3 days work from office)

Duration:

12+ Months Contract Responsibilities /

Experience:

Lead service rationalization and decomposition across complex enterprise ecosystems Design and build API-first, event-driven architectures Contribute hands-on to domain services, integrations, and POCs Enable service reuse through catalogs, standards, and governance Drive incremental legacy modernization (strangler pattern) Partner across global teams to influence a platform-first mindset Build systems ready for AI agents, automation workflows, and future integrations

Qualifications/Required Skills:

1. Strong Engineering & Architecture Execution (10+ years) Deep hands-on experience building and delivering production-grade systems in enterprise environments Expertise in microservices, APIs (REST/GraphQL), event-driven architecture (Kafka), and cloud platforms (AWS/Azure/Google Cloud Platform) Proven ability to move between architecture design, hands-on coding, and leading engineering teams with a pragmatic, delivery-focused mindset 2. Service Decomposition & Enterprise Modernization Strong experience with domain-driven design (DDD), service decomposition, and distributed system design Hands-on track record, breaking down monoliths/fragmented systems into reusable service layers Experience leading modernization efforts using incremental approaches (e.g., strangler pattern) with a focus on reuse, scalability, and clean service boundaries 3. MCP Servers & Gen AI / Agent-Based Systems Proven experience building MCP server-based solutions and Gen AI agents from concept through production Strong understanding of designing systems for an agentic, AI-driven ecosystem Ability to integrate AI into service architectures and make platforms agent-ready for future automation and intelligence 4.

Experience designing observability strategies:

distributed tracing, structured logging, metrics dashboards 5. Deep understanding of zero-trust architecture, API security, and identity federation 6. Hands-on experience with CI/CD pipeline design, GitOps workflows, and release engineering 7. Ability to make and communicate well-reasoned architectural trade-offs.

Preferred Skills:

Expertise with Claude Code or similar AI-assisted development tools Experience building service catalogs / internal developer platforms Background in highly distributed, multi-region enterprise environments Exposure to AI-driven automation workflows at scale

Thanks & Regards, Raviteja Chebolu Desk:

Email:

Conch Technologies Inc | 6750 Poplar Ave # 711, Memphis, TN 38138, United States