AI Engineer

Candidates typically face a three‑stage process: an online coding assessment focusing on data structures, algorithms, and Python basics; a technical interview that dives deep into AI/ML concepts, Prompt Engineering, and system design; followed by an HR round assessing cultural fit, communication, and career aspirations. Preparation should include strong DSA practice, hands‑on projects with LangChain or Generative AI, and clear articulation of past AI implementations.

Information Systems promotes a collaborative and innovative work culture where continuous learning is encouraged. Employees enjoy a balanced work‑life environment, flexible work‑from‑home options, and clear growth pathways supported by regular mentorship and skill‑upgradation programs.

Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA). Minimum aggregate 60% (or CGPA 6.0/10). No active backlogs; maximum of 2 backlogs allowed at the time of joining. Open to graduates from the 2025, 2026, or 2027 batch. Must have 2‑3 years of software development experience with at least 2 years in Generative AI development.

Round 1: Online coding test (DSA & Python) → Round 2: Technical interview (AI/ML concepts, Prompt Engineering, system design) → Round 3: HR interview (fitment, communication, career goals)

Information Systems is a leading Indian IT services and consulting firm that delivers end‑to‑end technology solutions across banking, insurance, manufacturing, retail, and many other sectors. With a strong emphasis on innovation, the company has built a reputation for leveraging emerging technologies such as cloud, data analytics, and artificial intelligence to drive digital transformation for its global clientele. The organization fosters a collaborative culture where engineers, data scientists, and domain experts work together to solve complex business challenges, making it an attractive destination for fresh talent looking to grow in a fast‑paced environment. The AI Engineer role is positioned at the heart of Information Systems' AI practice. As an AI Engineer, you will design, develop, and deploy intelligent models and systems using Python, Generative AI, Agentic AI, and related frameworks. You will partner with product managers, solution architects, and business analysts to translate real‑world problems into AI‑driven solutions, handling everything from data ingestion and preprocessing to model training, evaluation, and production deployment. Prompt engineering will be a key focus, enabling you to fine‑tune large language models for specific enterprise use‑cases. You will also be responsible for troubleshooting, performance optimization, and ensuring the reliability of AI services in production. Key responsibilities include: 1. Design, develop, and deploy AI models and systems using Python, LangChain, Generative AI, and Agentic AI. 2. Collaborate with cross‑functional teams to identify business problems and craft AI‑powered solutions. 3. Work with large, heterogeneous datasets to train, test, and validate models. 4. Apply Prompt Engineering techniques to improve model relevance and accuracy. 5. Optimize model performance, latency, and cost for production environments. 6. Troubleshoot and debug AI pipelines to maintain high availability. 7. Provide technical guidance and mentorship to junior developers. 8. Participate in code reviews and enforce best coding practices. 9. Contribute to CI/CD pipelines, containerization (Docker/Kubernetes), and cloud deployments (AWS/GCP/Azure). 10. Stay updated with the latest AI research and integrate cutting‑edge methods where applicable. The tech stack for this role includes Python, LangChain, FastAPI/Flask, SQL, Kafka, TensorFlow/PyTorch/Keras, Docker, Kubernetes, and cloud platforms such as Azure, GCP, or AWS. Certifications like Certified Data Scientist or Certified AI Engineer are a plus. The role follows Agile methodologies and utilizes Git for version control. Career growth at Information Systems is robust. AI Engineers can progress to Senior AI Engineer, AI Solution Architect, or AI Practice Lead, with opportunities to lead large‑scale AI projects, mentor teams, and influence product strategy. The company invests heavily in continuous learning, offering access to internal labs, external courses, and conference sponsorships. Why join Information Systems? You will work on high‑impact AI initiatives for Fortune‑500 clients, gain exposure to a diverse technology stack, and be part of a culture that values innovation, learning, and work‑life balance. The organization’s strong market position, competitive compensation, and clear career pathways make it an ideal place for ambitious AI professionals to accelerate their careers.