Java Microservices Developer

Company: Grey Chain AI

Location: Remote

Experience: 7+ Years

Employment Type: Full Time

About the Role

We are looking for a Senior Python AI Engineer who will lead the design, development, and delivery of production-grade GenAI and agentic AI solutions for global clients. This role requires a strong Python engineering background, experience working with foreign enterprise clients, and the ability to own delivery, guide teams, and build scalable AI systems.

You will work closely with product, engineering, and client stakeholders to deliver high-impact AI-driven platforms, intelligent agents, and LLM-powered systems.

Key Responsibilities

• Lead the design and development of Python-based AI systems, APIs, and microservices.
• Architect and build GenAI and agentic AI workflows using modern LLM frameworks.
• Own end-to-end delivery of AI projects for international clients, from requirement gathering to production deployment.
• Design and implement LLM pipelines, prompt workflows, and agent orchestration systems.
• Ensure reliability, scalability, and security of AI solutions in production.
• Mentor junior engineers and provide technical leadership to the team.
• Work closely with clients to understand business needs and translate them into robust AI solutions.
• Drive adoption of latest GenAI trends, tools, and best practices across projects.
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Must-Have Technical Skills

• 7+ years of hands-on experience in Python development, building scalable backend systems.
• Strong experience with Python frameworks and libraries (FastAPI, Flask, Pydantic, SQLAlchemy, etc.).
• Solid experience working with LLMs and GenAI systems (OpenAI, Claude, Gemini, open-source models).
• Good experience with agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
• Experience designing multi-agent workflows, tool calling, and prompt pipelines.
• Strong understanding of REST APIs, microservices, and cloud-native architectures.
• Experience deploying AI solutions on AWS, Azure, or GCP.
• Knowledge of MLOps / LLMOps, model monitoring, evaluation, and logging.
• Proficiency with Git, CI/CD, and production deployment pipelines.

Leadership & Client-Facing Experience

• Proven experience leading engineering teams or acting as a technical lead.
• Strong experience working directly with foreign or enterprise clients.
• Ability to gather requirements, propose solutions, and own delivery outcomes.
• Comfortable presenting technical concepts to non-technical stakeholders.

What We Look For

• Excellent communication, comprehension, and presentation skills.
• High level of ownership, accountability, and reliability.
• Self-driven professional who can operate independently in a remote setup.
• Strong problem-solving mindset and attention to detail.
• Passion for GenAI, agentic systems, and emerging AI trends.

Why Grey Chain AI

Grey Chain AI is a Generative AI-as-a-Service and Digital Transformation company trusted by global brands such as UNICEF, BOSE, KFINTECH, WHO, and Fortune 500 companies. We build real-world, production-ready AI systems that drive business impact across industries like BFSI, Non-profits, Retail, and Consulting.

Here, you won’t just experiment with AI — you will build, deploy, and scale it for the real world.

 Strong written/verbal communication skills

·        Minimum 2-15 Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Forkjoin pool and other threading concepts)

·        Good knowledge of the JVM with an understanding of performance and memory optimization.

·        Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

·        Excellent knowledge on collections like, Array List, Vector, LinkedList, Hashmap, HashTable, HashSet is mandate.

·        Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

·        Expert level understanding of Object-Oriented Concepts and Data Structures

·        Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

Please share your updated CV with the the below details:

Total Exp:

CTC:

Expectation:

Current Location:

Preferred Location:

Available for F2F Interview - Y/N :

Notice Period:

Regards,

Rashmi

Key Responsibilities :

- Design, develop, and maintain Java-based applications using Java SE/EE.

- Implement, test, and deploy microservices and RESTful APIs using Spring Boot and related technologies.

- Develop efficient and scalable solutions by writing clean, maintainable, and optimized code.

- Collaborate with cross-functional teams to understand business requirements and provide technical solutions.

- Write and execute unit tests using JUnit to ensure code quality and functionality.

- Perform code reviews to ensure adherence to best practices and coding standards.

- Troubleshoot, debug, and optimize code for performance and scalability.

- Stay up to date with the latest Java technologies and development best practices.

Required Skills and Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Years of experience in Java development (Java SE/EE, Spring, Hibernate).

- Strong experience with JUnit and test-driven development (TDD).

- Proficient in building microservices using Spring Boot and RESTful APIs.

- Experience with version control tools like Git.

- Familiarity with build tools such as Maven or Gradle.

- Strong understanding of object-oriented programming (OOP) principles.

- Familiarity with databases (SQL/NoSQL) and ORM frameworks (e.g., Hibernate).

- Experience with cloud platforms like AWS (preferably).

- Strong problem-solving skills and the ability to work in a collaborative environment.

Preferred Skills :

- Experience with continuous integration/continuous deployment (CI/CD) tools.

- Knowledge of containerization technologies like Docker.

- Familiarity with Agile methodologies and Scrum framework.

- Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus.

Egen is a data engineering and cloud modernization firm helping industry-leading companies achieve digital breakthroughs and deliver for the future, today. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. An Inc. 5000 Fastest Growing Company 7 times, and recently recognized on the Crain’s Chicago Business Fast 50 list, Egen has also been recognized as a great place to work 3 times.

You will join a team of insatiably curious data engineers, software architects, and product experts who never settle for "good enough". Our Java Platform team's tech stack is based on Java8 (Spring Boot) and RESTful web services. We typically build and deploy applications as cloud-native Kubernetes microservices and integrate with scalable technologies such as Kafka in Docker container environments. Our developers work in an agile process to efficiently deliver high value data driven applications and product packages.

Required Experience:

• Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering or a related field.
• Have experience working and strong understanding of object-oriented programing and cloud technologies
• End to end experience delivering production ready code with Java8, Spring Boot, Spring Data, and API libraries
• Strong experience with unit and integration testing of the Spring Boot APIs.
• Strong understanding and production experience of RESTful API's and microservice architecture.
• Strong understanding of SQL databases and NoSQL databases and experience with writing abstraction layers to communicate with the databases.

Nice to have's (but not required):

• Exposure to Kotlin or other JVM programming languages
• Strong understanding and production experience working with Docker container environments
• Strong understanding and production experience working with Kafka
• Cloud Environments: AWS, GCP or Azure

Job Summary:

• Willingness to work on highly scalable cloud-native solutions based on microservices.
• Quickly learn the technologies and deliver using the same.
• Take complete ownership of the customer requirements.
• Motivated to deliver world-class quality.
• Inclined to bring new ways of thinking, working and providing solutions.
• Drive the concept of quality into everybody and have a zero-tolerance towards bad quality.

• Understand requirements from product management, customer and able to comprehensively break this down to manageable tasks.

Experience:

● 3-9 years of development experience.

Technical Skills:

Mandatory:

• Java - Advanced concepts concurrency, reflection, lambda, Java Springboot, Spring security,
• Actuator/Prometheus/Grafana/Servo (metrics),
• EFK/ELK stack (log analysis)
• OpenAPI/Swagger (documentation)
• RDBMS (PostgreSQL, MySQL, Maria or any other)
• NoSQL (Anyone of Mongo DB, Redis, Cassandra, Neo4J or other DBs)
• Automated unit tests/e2e tests (JUnit, TestNG, RestAssured etc)
• CI/CD pipelines (Jenkins, Sonar, Maven/Gradle etc)

Optional: (But highly recommended)

• NewSQL DB (TiDB, CockroachDB)
• AMQP/RabbitMQ
• Kafka
• Docker
• Kubernetes