Senior Lead AI Engineer

Dear Candidate,

Greetings from CitiusTech!

Position : Senior Lead AI Engineer

Job Type: Full-time

Location: Pune (2-days from Office)

Work timings: 3pm to 12am IST(Due to US project, based on project need)

Notice Period: Immediate to 30 days

Responsibilities

• Design, build, and productionize ML models for personalization, forecasting, anomaly detection, and NLP on GCP (Vertex AI, BigQuery ML, Dataflow).
• Develop scalable data and feature pipelines; implement feature stores (Feast) and streaming ingestion (Pub/Sub, Kafka) for real-time inference.
• Implement agentic AI patterns: multi-agent orchestration, tool-use, retrieval-augmented generation (RAG), and function calling with guardrails (policy/PII filters).
• Optimize online inference for latency and cost using Vertex AI Endpoints, GPU/TPU here applicable, and autoscaling on GKE.
• Establish experiment frameworks (A/B, interleaving, bandits) and offline evaluation precision/recall, ROC-AUC, NDCG, MAP).
• Integrate vector search (Vertex Matching Engine / FAISS / Elasticsearch) for semantic retrieval and recommendations.
• Ensure privacy, security, and compliance (GDPR/CCPA); apply differential privacy where needed and follow model governance practices.
• Document designs, review code, and collaborate with product, data engineering, and platform teams.

Desired Technical Skills

Languages

• Python (primary)
• Java/Scala (nice to have)

Frameworks

• TensorFlow
• PyTorch
• scikit-learn
• JAX (optional)

Pipelines & Features

• Apache Beam/Dataflow
• Airflow/Cloud Composer
• Feast

RAG & Agents

• LangChain/LlamaIndex
• Function calling
• Toolformer patterns
• Vector databases (FAISS, Chroma, Elasticsearch)

Data & Streaming

• BigQuery
• Spark
• Kafka
• Pub/Sub

Serving

• Vertex AI Endpoints
• KFServing
• Triton
• Docker
• Kubernetes (GKE)

Observability

• MLflow
• Vertex Experiments/Model Registry
• Prometheus
• Grafana

Cloud

• GCP (Vertex AI, BigQuery, GCS) - Primary
• Familiarity with AWS (SageMaker) and Azure ML

Preferred Experience & Capabilities

• Delivered ML systems at scale (batch + real-time) with measurable business impact.
• Hands-on experience with vector search, RAG, and agentic workflows using tools/actions and governance (safety filters, jailbreak protection).
• Expertise in feature engineering, data quality, and drift detection (data/model).
• Strong understanding of IR/ranking metrics and online experimentation.
• Ability to mentor, perform code reviews, and contribute to architectural decisions.
• Excellent communication with cross-functional stakeholders.

Note:Primary development environment is GCP (Google Cloud Platform). Flexibility to work with AWS and Azure is desired for portability and interoperability.

If you are interested, please share your resume with below details to proceed further [email removed]

Total Experience:

Relevant Experience:

CTC:

ECTC:

Notice Period:

Thanks & Regards,

Ramkumar Prakash

Assistant Manager - Recruitment