Job Description
Location: Hyderabad Wave Rock, Innominds Office
Role: Agentic AI Engineer @Innominds
Experience: 2-5 Years
Interview Process: 2 Teams Meetings followed by an In-Person Interview at Hyderabad Office.
Job Description (JD): Agentic AI Developer (AWS)Role OverviewThe Agentic AI Developer will design, build, and operate production-grade AI agents on AWS to automate and augment business workflows. This role focuses on delivering end-to-end agentic solutionsfrom agent orchestration and tool integrations through to user experience, observability, security controls, and safe release practices (e.g., canary/phased rollout and human approval gates).Key Responsibilities
- Develop AI-powered products and workflows (e.g., inefficiency elimination, license harvesting, product tier optimisation) using agentic patterns.
- Design agent orchestration, decision logic, and tool-calling patterns; implement safeguards such as human-in-the-loop approvals for high-risk actions.
- Build and maintain retrieval-augmented generation (RAG) components, including knowledge sources, chunking strategies, embeddings, and evaluation of retrieval quality.
- Implement integrations with enterprise systems and collaboration tools (e.g., Microsoft Teams) via secure APIs and event-driven workflows.
- Develop backend services and serverless functions; manage state, workflows, and eventing for reliable multi-step agent execution.
- Build user-facing experiences (web UI and/or chat experiences) for interacting with agents, capturing feedback, and guiding users through workflows.
- Apply software engineering best practices: modular design, unit/integration testing, code review, documentation, and maintainable repositories.
- Establish observability (logs/metrics/traces), cost monitoring, and quality KPIs for agents (latency, success rate, hallucination/error rate).
- Partner with DevOps/SRE to implement CI/CD, environment promotion, and safe release strategies (canary, phased rollout, rollback).
- Work with security/compliance stakeholders to ensure IAM least privilege, secrets management, audit trails, and policy-aligned data handling.
- Support production operations: incident response, root-cause analysis, and continuous improvements to prompts, tools, and knowledge bases.
Required Qualifications
- Hands-on experience building LLM applications and/or AI agents, including prompt design, tool calling, and evaluation.
- Experience with agent frameworks and interoperability standards (e.g., Amazon AgentCore, Agent SDK (Strands SDK), MCP (Model Context Protocol), and A2A patterns) to integrate tools/services reliably.
- Strong programming skills in Python and at least one additional backend language/runtime (e.g., TypeScript/Node.js, Java).
- Experience building APIs (REST), authentication/authorisation patterns, and integrating with external/internal systems.
- Working knowledge of event-driven and serverless architectures, including failure handling, retries, idempotency, and state management.
- Practical experience with CI/CD and Infrastructure as Code (e.g., AWS CDK, CloudFormation, Terraform) and source control (Git).
- Understanding of security-by-design practices: least-privilege IAM, secrets management, encryption, and audit logging.
- Ability to collaborate across product, data, security, and operations teams; clear written and verbal communication.
AWS-Specific Technical Skills
- Amazon Bedrock: foundation model usage, prompt management, evaluation; experience with Bedrock Agents, Knowledge Bases, and Guardrails.
- Agent frameworks & protocols: Amazon AgentCore; Agent SDK (Strands SDK); experience implementing agent interoperability patterns such as MCP (Model Context Protocol) and A2A (agent-to-agent) protocols for tool/service integration.
- Serverless & integration: AWS Lambda, Amazon API Gateway, Amazon EventBridge.
- Data & state: Amazon DynamoDB (workflow/agent state), Amazon S3 (documents, knowledge sources, logs/artifacts).
- Observability: Amazon CloudWatch (logs, metrics, alarms, dashboards); tracing approach aligned to distributed workflows.
- Security & governance: AWS IAM (roles/policies), AWS Secrets Manager, KMS (as applicable), and audit-friendly logging patterns.
- DevOps: AWS CodePipeline/CodeBuild/CodeDeploy or GitHub Actions; familiarity with AWS Organizations/Control Tower (enterprise environments).
- Front-end enablement (where applicable): AWS Amplify for hosting/deployment of web apps.
Preferred / Nice-to-Have
- Front-end development experience with React (and modern UI patterns for chat/agent experiences).
- Experience with container platforms (Amazon ECS/EKS) and microservices.
- Experience with data engineering services such as AWS Glue, Amazon Athena/Redshift, or streaming (Amazon Kinesis).
- Familiarity with Amazon SageMaker for model evaluation/monitoring or experimentation workflows.
- Experience integrating with Microsoft 365/Teams (bots, messaging extensions, Graph-based integrations) and enterprise identity.
- Experience implementing LLM safety controls (prompt injection mitigation, PII handling, policy enforcement) and red-teaming/evaluation.
Ways of Working
- Agile delivery with small iterations, frequent validation, and disciplined release management.
- Operate with production ownership mindset: monitoring, on-call/incident participation (as applicable), and continuous improvement cycles.
- Strong governance: clear autonomy boundaries, audit trails, and human accountability for critical actions.
- Close collaboration with data engineering, AI/ML, security, and DevOps teams during build, go-live, and run phases.
Why Innominds?A note for those who want more than just a job ISV-First DNAInnominds was purpose-built for the ISV ecosystem. We speak the language of product engineering, SaaS velocity, and platform scale not generic IT services. Global Reach, Startup SoulWith 2,500+ engineers across the US, India, and EMEA, we combine enterprise delivery muscle with the agility and ownership culture of a growth-stage company. Cutting-Edge WorkFrom AI/ML and cloud-native platforms to embedded security and digital transformation ,you will work on whats next, not whats left. Real Career OwnershipWe believe in promoting from within. Your KPIs here translate into a growth trajectory Delivery Director, AVP, or beyond. You own your arc. Customer Intimacy at ScaleYou will have direct access to senior customer leadership not filtered through layers. Real relationships, real impact, real accountability. Competitive RewardsMarket-leading compensation, performance bonuses.If you believe delivery is an art and customer trust is currency, Innominds is your stage.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time
Contact Details:
Company: Innominds Software
Location(s): Hyderabad
Keyskills:
Agentic
AWS
Python
Agentic Ai
AgenticAI
MCP