ECMS REQ ID
542983
PU
CMTADM
Client Name
AT&T; Services Inc..
Number of Openings
4
Country
India
Detailed JD (Roles and Responsibilities)
Role Summary: Own agentic workflows (LangGraph), MCP tools, retrieval/embedding pipelines, and model evaluation. Translate ambiguous problems into robust, measurable solutions with explicit documentation and business impact.
Key Responsibilities
· Build agentic workflows in LangGraph; create reusable templates for multi-tool agents.
· Design, implement, and operate MCP servers/tools to expose APIs, data access, and actions.
· Apply advanced prompt engineering; maintain a versioned prompt registry with telemetry and A/B tests.
· Build embedding pipelines for semantic search/classification/clustering/retrieval; integrate with downstream apps (intent detection, topic modeling, deduplication, ranking).
· Apply dimensionality reduction and similarity search (PCA/t-SNE/UMAP; cosine/Euclidean; FAISS/ScaNN).
· Build and evaluate ML models (regression, random forest, XGBoost/LightGBM, SVM, Naive Bayes, k-means, hierarchical clustering) with sound diagnostics and inference.
· Design experiments (A/B/MVT/DOE) and causal analyses (PSM, causal forests, DiD); translate into actionable insights.
· Partner with Full Stack and DevOps on data contracts, latency/SLOs, observability, and deployment.
Required Technical Skills:
· Python (advanced): FastAPI, async I/O, packaging, pytest; Linux proficiency
· GenAI/Agentic: LangGraph (templates/orchestration), MCP servers/tools,
LLM tool-use/function calling, retrieval, streaming
· LLM Fine-tuning & Eval: SFT/ORPO/DPO; prompt/response evaluation frameworks; guardrails
· Embeddings & Vector DBs: TF-IDF, Word2Vec, GloVe, FastText, BERT/SBERT, OpenAI/Azure OpenAI; FAISS, Azure AI Search, Pinecone, ScaNN
· Statistics & Causal: hypothesis testing, CIs, bootstrapping, Bayesian basics; feature selection (Lasso/Ridge, RFE); SHAP
· Data Eng basics: PySpark, SQL; Azure Databricks, Data Factory, Data Lake; MongoDB/Cosmos DB
· Observability: MLflow, Application Insights; model drift detection
Nice to have:
Prompt linting/eval frameworks; graph analytics; vector augmentation; prompt caching
· Visualization (Plotly, Seaborn) and stakeholder-ready reporting
Total Experience
4+years
Relevant Experience
3+ years
Mandatory skills
Python (advanced): FastAPI, async I/O, packaging, pytest; Linux proficiency
· GenAI/Agentic: LangGraph (templates/orchestration), MCP servers/tools, LLM tool-use/function calling, retrieval, streaming
Desired skills
Data Eng basics: PySpark, SQL; Azure Databricks, Data Factory, Data Lake; MongoDB/Cosmos DB
Domain (Industry)
Telecom
Work Location
Bangalore, India
Background Check (Before onboarding / After onboarding)
After Onboarding
Mode of Interview- Telephonic/Face to Face/Video Interview
F2F or Video
WFO / WFH / Hybrid
Hybrid. Mon-Wed need to work from office
Shift Details (Time)
12.30PM to 9.30PM
Vendor Rate (INR/day)
11,500 INR/Day to 12,500 INR/Day
📌 AT&T -Gen AI (India)
🏢 Clifyx
📍 India