Sr. Java Developer(with strong AI/ML, GCP Cloud and Python Exp)

Position: Sr. Java Developer(with strong AI/ML, GCP Cloud and Python Exp)Location: Remote Interview Process: (one step) 1 screen with panel. 2nd round is a coding assessment Java Exp (3+ EXP)Postgres SQL ExperienceStrong AI – hands on with python and AI – Gemini Flash, LM Models (4+ years of Exp)Preference: open to any industryGCP/Cloud/Java experienceCerts are a plusCore AI / ML Experience4+ years of hands-on experience building and deploying production AI/GenAI applicationsExperience designing and orchestrating multi-agent LLM workflows (e.g., Google ADK, LangChain, or equivalent agentic frameworks)Practical experience with Retrieval-Augmented Generation (RAG) — chunking strategies, vector similarity search, semantic regroupingFamiliarity with prompt engineering, instruction tuning, and evaluating LLM output quality (confidence calibration, citation accuracy)Experience integrating LLMs via gateway proxies (e.g., LiteLLM, Azure OpenAI, or enterprise LLM routing layers)Understanding of LLM output parsing, structured JSON extraction, and handling model response variabilityExperience with feedback loop design — capturing human corrections and injecting rules back into inference pipelinesPython4+ years Python development; proficient in FastAPI or equivalent async web frameworksStrong working knowledge of SQLAlchemy (sync and async), Pydantic v2, and asyncpg for PostgreSQLComfortable with Python dependency management using Poetry or uv; experience with private PyPI registries (e.g., JFrog Artifactory)Experience writing and maintaining YAML-driven workflow configurations for agent orchestration pipelinesFamiliarity with pytest, integration testing patterns, and mocking LLM responses in test suitesProficient with data processing libraries: pandas, json-logic, rapidfuzzJava3+ years Java/Spring Boot development for microservicesExperience with Spring JPA/Hibernate against Oracle or relational databasesFamiliarity with ISC or event-bus patterns for JVM-local async messagingExposure to SOAP/XML integrations (JAXB marshalling, NCPDP or HL7 a plus)Experience with feature flag patterns, service layer orchestration, and finally-block-driven reliability patternsGCP / GKE / Cloud InfrastructureExperience deploying containerized services to Google Kubernetes Engine (GKE)Familiarity with Google Cloud Storage (GCS) for artifact and data managementHands-on with Google Gemini models (Flash or Pro variants) via Vertex AI or direct APIUnderstanding of GCP IAM, service accounts, and quota management for LLM API accessExperience with Kubernetes resource tuning — replica sets, pod autoscaling, resource requests/limitsFamiliarity with CI/CD pipelines targeting GKE (e.g., Harness, GitHub Actions, or equivalent)Experience with GCP monitoring, logging (Cloud Logging), and tracing for distributed Python/Java servicesDatabasesExperience with dual-database architectures: Oracle (Java/JPA) and PostgreSQL (Python/SQLAlchemy)Comfortable writing and optimizing SQL for operational and analytical queriesFamiliarity with connection pool tuning (pool size, overflow, pre-ping, LIFO strategies)General EngineeringExperience building systems with strict human-in-the-loop requirements — output review, correction capture, and audit trailsComfortable working across a polyglot microservices architecture (Java on-prem + Python on GKE)Strong understanding of REST API design, async event-driven patterns, and retry/backoff strategiesExperience with healthcare data standards (NCPDP, HL7 FHIR, or EHR integration) is a strong plusFamiliarity with secure coding practices: masked PII before LLM calls, HMAC authentication, SSL/TLS cert management