AI Software Developer Role

Tata Communications; Pune District; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Tata Communications invites an experienced AI Software Developer to design and deliver end-to-end AI solutions for the Dark NOC platform. You will own full-stack AI development, including model integration, APIs, and workflow automation, with emphasis on robust RAG pipelines and scalable services.

Collaborating with project managers and platform teams, you will ensure secure, cost-efficient AI automation, production readiness, and SLA-aligned operations across enterprise customer ops.

Qualifications

• Bachelor’s degree in computer science / AI / Data Science engineering.
• 5–10 years of relevant experience in AI software development.

Responsibilities

• Design, develop, and own end-to-end AI solutions for Dark NOC platform.
• Build full-stack AI capabilities: model integration, orchestration, APIs, and workflows.
• Develop and productionize RAG pipelines, embeddings, and tool calling for autonomous actions.
• Integrate LLMs/NLU/ASR/TTS with robust adapters, retries, and fallbacks.
• Define prompts, policies, and evaluation methods for reliability and safety.
• Lead data ingestion/transformation for logs, alerts, and knowledge bases.
• Set up CI/CD, containerization (Docker), and Kubernetes deployments with observability.
• Collaborate with PMs, infra, and data teams; deliver documentation and demos.
• Participate in testing (unit/integration/e2e) and AI evaluations; run offline/shadow experiments.

Skills

Python

LLMs/NLP

LangChain/LlamaIndex

Prompt engineering

APIs/Services

REST APIs

gRPC

System design

Kubernetes

Git

Docker

CI/CD

Python + Node.js

SQL (MySQL/PostgreSQL)

Education

Bachelor’s degree in computer science / AI / Data Science engineering

Tools

LangChain

LlamaIndex

FastAPI

VS Code

Visual Studio

Job description

As an AI Software Developer, you will design, develop, and own end to end AI solutions for Dark NOC, an AI driven automation platform for customer operations support. You will be responsible for full stack AI development, covering model integration, application logic, APIs, workflows, and production readiness.

In this role, you will work closely with the Project Manager to translate business and operational requirements into scalable, reliable, and automated AI capabilities. You will build and productionize solutions leveraging LLMs, NLP, RAG based systems, and automation workflows to enable proactive issue detection, intelligent troubleshooting, and autonomous operations.

You will take complete ownership of the development lifecycle from design and implementation to testing, deployment, and optimization ensuring the Dark NOC platform delivers secure, cost efficient, measurable, and SLA aligned AI automation for enterprise customer operations.

Location: Preferably Pune (Location can be discussed)

Minimum Qualifications & Experience

• Bachelor’s degree in computer science / AI / Data Science engineering
• 5–10 years of experience

Core Knowledge & Skills

• Proficiency in Python programming
• Strong experience developing AI-driven automation solutions using LLMs/NLP (LLaMA, Mistral, Falcon, Claude Sonnet) and RAG-based architectures
• Hands-on knowledge of LangChain / LlamaIndex; prompt engineering; function calling; embeddings, including prompt design, validation, and response quality evaluation
• Experience integrating AI models using LLM function/tool calling APIs for automated decision-making and actions
• Strong programming skills in Python, Node.js, or building scalable APIs and services

Strong hands-on experience with REST and gRPC APIs, including:

• HTTP status codes
• Payload structures
• Retries

MLOps / DevOps:

• Git
• Docker
• API gateways

Observability:

• Grafana

Security & Compliance:

• PII redaction
• RBAC

Hands-on experience using:

• Visual Studio Code (preferred for Python)
• Visual Studio (with Python workload)
• C#/.NET or Python development, including debugging, code reviews, and collaborative development workflows

Hand-on development experience with MySQL or PostgreSQL

Other Knowledge & Skills

• Exposure to working on RFP cases
• Knowledge of creating HLD and LLD

Proficiency in:

• VS Code + Python
• FastAPI programming
• REST APIs

Key Responsibilities

End to End Solution Design & Development

Translate business and operational requirements into architecture, user stories, and technical designs for Dark NOC features.

Build full stack AI capabilities: model integration (LLMs/NLP), orchestration logic, APIs/services, and workflow automation.

Implement RAG pipelines (data ingestion, chunking, embeddings, vector search) and tool/function calling for autonomous actions.

Integrate LLMs/NLU/ASR/TTS providers with robust adapters, retries, timeouts, and fallbacks.

Design and maintain prompts, system policies, and tool schemas; evaluate and refine prompts for accuracy and reliability.

Implement guardrails (policy enforcement, PII masking, safety filters) and quality evaluation (e.g., RAG ground truth checks).

Data Engineering for Dark NOC

Build data ingestion & transformation for logs, alerts, tickets, and knowledge bases.

Maintain feature/knowledge freshness SLAs and data contracts with upstream systems.

Integration with New Relic, Service Now, Email, chat, REST API for end-to-end automation.

Testing, Quality & Evaluations

Implement unit/integration/e2e tests, plus AI evaluations (groundedness, hallucination, toxicity).

Create offline and shadow/A B evaluations for prompts, models, and RAG changes before production rollout.

Define acceptance criteria with the Project Manager; maintain a robust regression suite.

CI/CD & Operations Ready Builds

Set up CI/CD pipelines with canary/blue green releases, automated rollbacks, and migration/versioning for prompts, models, and indexes.

Containerize services (Docker) and deploy to Kubernetes with observability hooks and resource limits.

Produce runbooks and operational toggles (feature flags, kill switches, fallback modes).

Collaboration & Delivery Management

Work closely with the Project Manager on scope, estimations, milestones, and risk tracking.

Partner with platform, infra, and data teams to unblock dependencies and align environments and SLAs.

Provide clear documentation (designs, APIs, runbooks, evaluation results) and demo increments to stakeholders.

Support pre prod validations and production rollouts; analyze incidents with traces/logs and drive code fixes.

Own RCA for code/config issues and convert findings into tests, guardrails, and automation.

Preferred Trainings/Certifications

Certification - Generative AI with Large Language Models or LLMOps

Certified in C# (.NET) or Python

Certification or deep knowledge of SDLC, Agile, or Kubernetes