Senior AI Engineer – Agentic AI & Backend

ACROSSTEK™; Karnataka; Hybrid; INR 4,000,000 - 6,800,000; Full time

Job summary

ACROSSTEK™ is seeking a Senior AI Engineer in Bangalore to design, develop, and operate production-ready AI systems powered by LLMs and intelligent agents.

You will own MCP-based integrations, agentic workflows, and AI-powered connectors, taking solutions from architecture to deployment, monitoring, and continuous improvement. This is a hands-on engineering role focusing on scalable AI applications rather than research.

Qualifications

• 5+ years of software engineering experience delivering production systems.
• Hands-on Python backend development.
• Experience developing and deploying LLM-powered applications or AI agents.
• Knowledge of MCP servers or AI integrations.
• Experience deploying to AWS, GCP, or similar clouds.
• Understanding of APIs, backend architecture, and distributed services.
• Experience with asynchronous programming in Python.

Responsibilities

• Design and develop MCP servers enabling secure data access for AI agents.
• Build agentic workflows with tool calling, orchestration, and human approval.
• Develop integrations connecting AI agents with external applications and systems.
• Own services from architecture to production support.
• Establish evaluation processes for agent accuracy and reliability.
• Implement logging, tracing, and observability for AI-agent behavior.
• Improve performance, latency, cost efficiency, and scalability.
• Create reusable SDKs and engineering components for AI development.
• Collaborate with Product/Design/Engineering to translate requirements into production solutions.
• Evaluate new technologies in LLM and agent ecosystems.

Skills

Python backend development

LLM-powered applications

Agent orchestration

Asynchronous programming

Cloud deployment (AWS/GCP)

Docker

API design / backend architecture

Production systems experience

Tools

LangGraph

LangChain

Anthropic SDK

Pydantic-AI

CrewAI

OpenTelemetry

Job description

Experience: 5+ Years

Location: Bangalore

Work Mode: Hybrid

Employment Type: Full-time

About the Role

We are looking for a Senior AI Engineer to design, develop, and operate production-ready AI systems powered by LLMs and intelligent agents.

You will be responsible for building the engineering foundation behind AI agents, MCP-based integrations, agentic workflows, and AI-powered connectors. The role involves taking solutions from architecture and development through deployment, monitoring, evaluation, and continuous improvement.

This is a hands-on engineering position, not a research or prompt-engineering role. You should enjoy solving complex engineering problems and building reliable AI applications that can operate at scale.

Key Responsibilities

• - Design and develop MCP servers that allow AI agents to securely access data, APIs, and business capabilities.
• - Build robust agentic workflows involving tool calling, orchestration, multi-step execution, and human approval when required.
• - Develop integrations that connect AI agents with external applications, platforms, and enterprise systems.
• - Own services throughout their lifecycle, including architecture, development, deployment, monitoring, and production support.
• - Establish evaluation processes to measure agent accuracy, reliability, and behavioral consistency.
• - Implement logging, tracing, and observability to understand and troubleshoot AI-agent behavior.
• - Improve systems for performance, latency, cost efficiency, scalability, and reliability.
• - Create reusable SDKs, frameworks, and engineering components for AI development.
• - Work closely with Product, Design, Engineering, and customer-facing teams to convert requirements into production solutions.
• - Evaluate emerging technologies across the rapidly evolving LLM and agent ecosystem.

Required Qualifications

• - 5+ years of software engineering experience with experience delivering production systems.
• - Strong hands-on expertise in Python backend development.
• - Proven experience developing and deploying LLM-powered applications or AI agents.
• - Practical knowledge of:
• - Function/tool calling
• - Structured outputs
• - Prompt chaining
• - Agent orchestration
• - Multi-agent systems
• - Human-in-the-loop workflows
• - Experience developing MCP servers or equivalent AI integrations/tool interfaces.
• - Understanding of LLM evaluation and testing methodologies.
• - Experience deploying applications using AWS, GCP, or similar cloud platforms.
• - Good knowledge of Docker and containerized applications.
• - Experience with asynchronous programming in Python.
• - Strong understanding of APIs, backend architecture, and distributed services.
• - Ability to make sound technical decisions while keeping the end-user and business requirements in mind.

Preferred Skills

• - Experience with LangGraph, LangChain, Anthropic SDK, Pydantic-AI, CrewAI, or similar agent frameworks.
• - Familiarity with AI observability and tracing platforms such as Langfuse, LangSmith, or OpenTelemetry.
• - Exposure to LLMOps, agent evaluation, and AI monitoring.
• - Experience with digital analytics, application monitoring, APM, or observability platforms.
• - Contributions to open-source AI/engineering projects, technical blogs, presentations, or community initiatives are a plus.