Artificial Intelligence Developer

Iboss Tech Solutions; Dadri; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Scalong | iBoss Tech Solution Pvt. Ltd. in Noida, India seeks a Senior AI Engineer to build GenAI and agentic systems. You will drive tool calls, orchestration, memory management and secure, scalable backend integrations.

Ideal candidates have 3–5 years of experience, strong Python, and a track record in LLM engineering, RAG pipelines, evaluation and observability. Join a team focused on enterprise-grade AI solutions and robust DevOps practices.

Qualifications

• 3–5 years of experience in AI engineering or related roles.
• Hands-on with GenAI, LLMs and agentic systems.
• Strong production-grade Python development.
• Experience with tool calling, memory management and orchestration.
• Security, reliability, observability and performance focus.

Responsibilities

• Design and implement GenAI/agentic systems and tool calls.
• Develop secure, scalable back-end APIs and data flows.
• Lead evaluation of AI models and agent performance.
• Ensure observability with tracing, logging and retries.
• Collaborate with cross-functional teams and stakeholders.

Skills

GenAI & LLMs

Agentic AI

Agent Frameworks

Model Context Protocol

Python

LLM Engineering

RAG

AI Evaluation

AI Reliability

AI Security

Backend/API

Databases

Cloud & DevOps

AWS Services

Testing

Distributed Systems

Observability

Software Engineering

AI-Assisted Development

Tools

OpenAI

Anthropic

AWS Bedrock

Google ADK

LangGraph

Strands Agents

Codex / Copilot

pgvector

Docker

Job description

Senior AI Engineer GenAI & Agentic SystemsCompany: Scalong | iBoss Tech Solution Pvt. Ltd. Location: Noida, India Experience: 3–5 Years Employment: Full-TimeKey Skills Required

• Generative AI & LLMs: OpenAI, Anthropic, AWS Bedrock, Google or equivalent
• Agentic AI: Single/multi-agent systems, tool calling, agent orchestration, state & memory management
• Agent Frameworks: OpenAI Agents SDK, Google ADK, LangGraph, Strands Agents or custom agent architectures
• MCP: Model Context Protocol, MCP servers/clients, secure tool & data integration
• Python: Strong production-grade Python development
• LLM Engineering: Prompt/context engineering, structured outputs, model routing, token & cost optimization
• RAG: Embeddings, retrieval pipelines, document-grounded AI, vector/search databases
• AI Evaluation: Evaluation datasets, regression testing, LLM/agent evaluation, quality metrics
• AI Reliability: Observability, tracing, logging, retries, fallbacks, timeouts, error handling
• AI Security: Prompt injection, tool security, least privilege, guardrails, RBAC, OAuth, IAM, human approval workflows
• Backend/API: REST APIs, asynchronous processing, queues, event-driven architectures
• Databases: PostgreSQL, SQL, pgvector or equivalent
• Cloud & DevOps: AWS, Docker, CI/CD
• AWS Services: Bedrock, ECS, Lambda, S3, SQS, CloudWatch, IAM
• Testing: Unit, integration, regression and AI workflow testing
• Distributed Systems: Concurrency, background jobs, caching, retries and failure recovery
• Observability: OpenTelemetry or distributed tracing
• Software Engineering: Git, code reviews, clean architecture, debugging and production support
• AI-Assisted Development: Codex, Claude Code, Cursor, GitHub Copilot or equivalent

Preferred / Good to Have

• AWS Bedrock AgentCore or similar managed agent infrastructure
• Salesforce and enterprise API integrations
• Pinecone, OpenSearch, Weaviate or other vector/search platforms
• Agent-to-agent interoperability protocols
• Multimodal and reasoning models
• Experience building enterprise AI automation solutions

Core Competencies

• Strong architecture and problem-solving judgment
• Ability to convert ambiguous business requirements into production AI solutions
• Ability to decide between deterministic workflows, LLMs, RAG, agents and human-in-the-loop
• Strong focus on security, scalability, reliability, cost and performance
• Independent ownership from POC development deployment monitoring optimization
• Strong communication and stakeholder-management skills