Operations Research & Optimization Engineer

OrbitronAI.com; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Top-tier compensation & stock options

Paid AI tool & cloud credits

Premium health and wellness budgets

Continuous learning opportunities

Job summary

A technology company seeks an Operations Research & Optimization Engineer in Bengaluru to lead the development of autonomous scheduling solutions for airline crews. The role requires a strong foundation in optimization techniques, programming skills in Python, and experience with tools like Gurobi and CPLEX. Candidates should have at least 5 years of experience in large-scale optimization. Key responsibilities include designing the scheduling engine, developing algorithms, and integrating data sources. Offering competitive compensation and stock options.

Qualifications

• 5+ years of experience building or operating large-scale optimization or scheduling systems.
• Strong expertise in one or more optimization techniques like Constraint Programming (CP).
• Hands-on experience with optimization tools.

Responsibilities

• Design, build, and optimize the scheduling engine for airline crew and cabin rosters.
• Develop and tune algorithms capable of handling large datasets.
• Integrate real-world data sources into the optimization engine.

Skills

Optimization techniques

Python proficiency

Communication skills

Experience with optimization tools

Production engineering practices

Education

Bachelor’s or master’s degree in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics

Tools

Gurobi

CPLEX

OR-Tools

MiniZinc

Pyomo

Job description

Operations Research & Optimization Engineer

OrbitronAI is on a mission to turn large language model magic into production-grade agentic systems and workflows that solve real problems for the world’s largest enterprises. We’ve recently raised $10 million in seed funding 💰 and are scaling fast across Dubai, Bengaluru, and Saudi Arabia.

👥 The Team Behind OrbitronAI

Founded by an exceptional leadership team of former EY Partners, Ex-_人人CTOs and Heads of Engineering from successful Series B+ startups—the team brings seasoned business, product and engineering leaders who have built and scaled large organizations and led enterprise projects valued at over $1 billion.

• Massive Impact, Real Ownership → Ship end‑to‑end features, own outcomes, and see your work power mission‑critical systems.
• Battle‑Tested Leadership → Learn and grow with seasoned leaders who bring deep industry expertise and zero ego श्रृण.
• Cutting Edge Stack → Work with GenAI frontier models, Java, Python, Go, TypeScript, GCP & edge compute, Vector DBs, DAG engines.
• Hustle → Move with urgency, bias for action, celebrate shipping.
• Ownership & Commitment → Act like a founder—your decisions shape the company.
• Founder’s Mindset → Challenge ideas, not people. Seek truth, not consensus.
• Continuous Learning → No legacy thinking; we invest in upskilling and sponsor courses &

Why This Role

Airline crew rostering is one of the most complex real‑world optimization challenges, thousands of constraints, millions of possibilities, and zero room for error.

We’re not looking for someone to maintain spreadsheets or tune simple heuristics. We’re building autonomous decision‑making systems that blend classical optimization, AI, and domain intelligence to generate schedules that are safe, efficient, and disruption‑resilient. You’ll be the technical owner of our optimization engine, modelling constraints, building solvers, running large‑scale experiments and ultimately shipping a system that an entire industry depends on.

Bonus: we’re a company where using AI tools to accelerate your own workflow is not just allowed; it’s expected.

What You Bring

1. Bachelor’s or master’s degree in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics, or equivalent practical experience
2. 5+ years of experience building or operating large‑scale optimization or scheduling సంవత్సర systems
3. Strong expertise in one or more optimization techniques: Constraint Programming (CP)
4. Hands‑onaways experience with optimization tools like Gurobi, CPLEX, OR‑Tools, MiniZinc, Pyomo,
5. Ability to model complex rule systems (legalities, constraints, fatigue rules, preferences, unions, etc.)
6. Proficiency in Python (bonus: experience in C++ for performance‑critical components)
7. Familiarity with ML‑assisted optimization is a plus (RL, heuristic learning, forecasting, or delay
8. zelen;juy designing experiments, tuning solvers, and interpreting model output
9. Strong understanding of production engineering practices: CI/CD, version control, testing frameworks, monitoring
10. Excellent communication and collaboration skills; ability to thrive in a fast‑paced, problem‑solving, startup environment

What You’ll Do

1. Design, build, and optimize the core scheduling engine for airline crew and cabin rosters— from constraint modelling to solver implementation
2. Build scalable, parameterised formulations for pairing, rostering, bidding, fatigue compliance, legality checks, and disruption recovery
3. Develop and tune algorithms (MIP, CP, heuristics, or hybrids) capable of handling very large
4. Create automated pipelines to run “what‑if” scenarios, simulations, and optimisation
5. Integrate real‑world data sources— schedules, crew profiles, aircraft rotations, rule sets—into the optimisation engine
6. Collaborate closely with product, domain experts and engineering teams to define rules, constraints, and objective functions
7. Experiment quickly: prototype new formulations, prune search spaces, evaluate heuristics, and
8. Work with AI/ML engineers to blend optimisation with predictive modelling, reinforcement learning, or heuristic learning where beneficial
9. Help define reliability, feasibility guarantees, and quality metrics for solver outputs
10. Turn complex airline rules into simple, elegant models that consistently produce feasible and high‑quality schedules
11. Contribute to building the next generation of autonomous operational decision systems used

• Top‑Tier Compensation & stock options with substantial potential upside.
• Paid AI tool & cloud credits to experiment freely
• Premium health, wellness, and learning budgets
• A culture celebrating every victory.
• Continuous learning and skill development opportunities.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Software Development

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